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Table 2 Four selected radiomic features and relevant coefficients in radiomics model

From: CT-based radiomic nomogram for predicting the severity of patients with COVID-19

Radiomic features

Regression coefficient

Pleural thickening

0.044408621

Total volume of the lesion

0.424464103

Ratio of consolidation volume to whole lung volume

0.419327051

Ratio of lesion volume to whole lung volume

0.006363664

  1. The radiomics signature was set up as Rad-score = 0.044408621 × pleural thickening + 0.424464103 × total volume of the lesion + 0.419327051 × ratio of consolidation volume to whole lung volume + 0.575642290 × ratio of lesion volume to whole lung volume + 0.006363664
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European Journal of Medical Research

ISSN: 2047-783X

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